Instructions to use weixinchen/GRATH-selftruth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use weixinchen/GRATH-selftruth with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "weixinchen/GRATH-selftruth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a73a82121cf4002845f7efc566ea1736993b341407cee4002bd91be53884d67
- Size of remote file:
- 25.2 MB
- SHA256:
- 834bdef67f325fe2af0d175372672da24161a7033b225a777744df46e477a062
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.